VP, Sales Engineering - EMEA

b Overview /b p In this AvP SE role, you will shape and scale DDN’s Sales Engineering function across Europe, driving a culture of accountability and high performance. You’ll partner with Sales, Product, Marketing and Engineering to align technical strategy with business outcomes and own region-wide execution. You’ll lead a transformational agenda, attract and develop top talent, and connect SE to revenue and customer success. This is a strategic, cross-functional leadership role at a growing, global AI data storage leader. /p b Pay / Benefits /b ul li competitive compensation package including base salary, variable incentive, equity /li li comprehensive benefits /li li hybrid work model /li li career development opportunities /li li leadership exposure to executive teams /li /ul b Responsibilities /b ul li Define and execute the EMEA SE vision, strategy, and regional rollout across sub-regions and market segments /li li Lead organizational transformation to set new SE operating standards and collaboration models /li li Establish a culture of accountability with clear commitments and outcomes ownership /li li Foster a team-oriented environment contributing to shared revenue and customer success /li li Model high-performance culture to attract and retain talent /li li Develop and implement a regional talent strategy to recruit, retain, and develop SE leaders /li li Oversee onboarding and enablement to accelerate time-to-productivity /li li Conduct regular performance discussions focused on development and growth /li li Promote internal mobility and promotion from within /li li Create and manage a KPI framework for SE performance and continuous improvement /li li Institute regular operating cadences (weekly, monthly, quarterly) and align leadership /li li Build dashboards for real-time visibility of SE metrics across the region /li li Ensure end-to-end execution quality from discovery to technical close /li li Serve as executive technical sponsor for strategic accounts and competitive scenarios /li li Set architectural standards, messaging, and solution positioning across SE /li li Articulate DDN differentiation in AI storage, EXAScaler, Infinia, and HPC environments /li li Lead cross-functional alignment between SE, Sales, Product, Engineering, and Support /li li Represent SE in executive briefings, partner events, and industry forums /li li Drive proactive, value-led SE capabilities rather than reactive deal support /li li Define roadmaps for SE evolution and gain executive alignment /li li Establish CoE practices, reference architectures, and enablement assets /li /ul b Key requirements /b ul li 15+ years in Sales Engineering, Solutions Architecture, or Systems Engineering with at least 7 years in senior people leadership managing managers /li li Proven ability to transform distributed, multi-layered technical organizations regionally or globally /li li Track record designing and implementing KPI frameworks and metrics for SE performance /li li Success attracting and retaining top talent through deliberate career development and culture-building /li li Experience leading significant cultural or structural transformations with tangible results /li li Strong cross-functional executive communication for board-level, product strategy, and coaching contexts /li li Deep background in enterprise storage, data infrastructure, AI/ML infrastructure, HPC, or distributed systems /li li Ability to drive accountability without micromanagement while maintaining clear expectations /li li Experience building collaborative, team-oriented cultures /li li Experience at VP level leading SE organizations in large, high-growth tech companies (preferred) /li li Familiarity with modern AI data infrastructure ecosystems (GPU clusters, parallel file systems, object storage, MLOps) (preferred) /li li Bachelor in Computer Science, Engineering, or related field; MBA or advanced degree a plus (preferred) /li /ul ul li executive communication /li li talent development /li li cross-functional influence /li li enterprise storage /li li AI/ML infrastructure /li li HPC /li /ul